Anthony, Martin and Ratsaby, Joel (2012) Robust cutpoints in the logical analysis of numerical data. Discrete applied mathematics, 160 (4 - 5). pp. 355-364. ISSN 0166-218X
Abstract
Techniques for the logical analysis of binary data have successfully been applied to non-binary data which has been ‘binarized’ by means of cutpoints; see Boros et al. (1997, 2000) [7] and [8]. In this paper, we analyze the predictive performance of such techniques and, in particular, we derive generalization error bounds that depend on how ‘robust’ the cutpoints are.
| Item Type: | Article |
|---|---|
| Official URL: | http://www.elsevier.com/wps/find/journaldescriptio... |
| Additional Information: | © 2012 Elsevier |
| Uncontrolled Keywords: | computational, information-theoretic learning with statistics, theory & algorithms |
| Library of Congress subject classification: | Q Science > QA Mathematics |
| Sets: | Departments > Mathematics |
| Rights: | http://www.lse.ac.uk/library/rights/LSERO.htm |
| URL: | http://eprints.lse.ac.uk/36129/ |
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